A model-based approach to shape from focus

VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings

Volumn 1, Issue , 2008, Pages 243-250

  Sahay, R R ^a   Rajagopalan, A N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Depth map recovery; Markov random fields; Shape from focus

Indexed keywords

COMPUTER VISION; HIDDEN MARKOV MODELS; IMAGE PROCESSING; IMAGE SEGMENTATION; NEMATIC LIQUID CRYSTALS; RANDOM PROCESSES; SPECIAL EFFECTS;

3D OBJECTS; DEGRADATION MODELS; DEPTH MAP RECOVERY; DEPTH PROFILES; MARKOV RANDOM FIELDS; MODEL-BASED; NEIGHBOURHOOD; OBJECTIVE FUNCTIONS; SHAPE FROM FOCUS; SHAPE FROM FOCUSES;

THREE DIMENSIONAL;

EID: 57349145296     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Ahmad, M. B. and Choi, T. (2005). A heuristic approach for finding best focused shape. IEEE Trans. on Circuits and Systems for Video Technology, 15(4):566-574.
2. Ahmad, M. B. and Choi, T. S. (2006). Shape from focus using optimization technique. In Proc. Int. Conf. Acoustics, Speech and Signal Processing, pages 493-496.
3. Asif, M. and Choi, T. S. (2001). Shape from focus using multilayer feedforward neural networks. IEEE Trans. Image Process., 10(11):1670-1675.
4. Besag, J. (1974). Spatial interaction and the statistical analysis of lattice system. J. Royal Statistical Soc., Series B, 36:192-236.
5. Besag, J. (1986). On the statistical analysis of dirty pictures. J. Royal Statistical Soc., Series B, 48:259-302.
6. Born, M. and Wolf, E. (1965). Principles of optics. Pergamon, London.
7. Chaudhuri, S. and Rajagopalan, A. (1999). Depth from defocus: A real aperture imaging approach. Springer-Verlag, New York.
8. Chellappa, R. and Jain, A. (1993). Markov random fields: Theory and applications. Academic Press.
9. Darrell, T. and Wohn, K. (1990). Depth from focus using a pyramid architecture. Pattern Recognition Letters, 11(12):787-796.
10. Ens, J. and Lawrence, P. (1993). An investigation of methods for determining depth from focus. IEEE Pattern Anal. Mach. Intell., 15(2):97-108.
11. Kindermann, R. and Snell, J. L. (1980). Markov random fields and their applications. American Mathematical Society, Providence, R.I.
12. Li, S. Z. (1995). Markov random field modeling in computer vision. Springer-Verlag, Tokyo.
13. Nayar, S. K. and Nakagawa, Y. (1994). Shape from focus. IEEE Trans. Pattern Anal. Mach Intell., 16(8):824-831.
14. Noguchi, M. and Nayar, S. K. (1994). Microscopic shape from focus using active illumination. In Proc. Int. Conf. Pattern Recognition, pages 147-152.
15. Pentland, A. P. (1987). A new sense for depth of field. IEEE Pattern Anal. Mach Intell., 9(4):523-531.
16. Pradeep, K. S. and Rajagopalan, A. N. (2007). Improving shape from focus using defocus cue. IEEE Trans. Image Process., 16(7):1920-1925.
17. Subbarao, M. (1988). Parallel depth recovery by changing camera parameters. In Proc. Int. Conf. Computer Vision, pages 149-155.
18. Subbarao, M. and Choi, T. S. (1995). Accurate recovery of three-dimensional shape from image focus. IEEE Trans. Pattern Anal. Mach Intell., 17(3):266-274.
19. Yun, J. and Choi, T. S. (1999). Accurate 3-d recovery using curved window focus measure. In Proc. Int. Conf. Image Processing, pages 910-914.